_base_ = 'coco_instance.py'
dataset_type = 'LVISV1Dataset'
data_root = 'data/LVIS/'
data = dict(
    samples_per_gpu=2,
    workers_per_gpu=2,
    train=dict(
        type=dataset_type,
        ann_file=data_root + 'lvis_v1_train.json',
        img_prefix=data_root + 'images'),
    val=dict(
        type=dataset_type,
        ann_file=data_root + 'lvis_v1_val.json',
        img_prefix=data_root + 'images'),
    test=dict(
        type=dataset_type,
        ann_file=data_root + 'lvis_v1_val.json',
        img_prefix=data_root + 'images'))
evaluation = dict(metric=['bbox', 'segm'])
